Interactive medical image segmentation with seed precomputation system: Data from the Osteoarthritis Initiative

Hong Seng Gan*, Tian Swee Tan, Ahmad Helmy Abdul Karim, Khairil Amir Sayuti, Mohammed Rafiq Abdul Kadir

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

10 Citations (Scopus)

Abstract

Although interactive segmentation helps lower the degree of human intervention, further upgrade to increase the efficiency and intuitiveness of interactive segmentation method remains requisite. Invariably, newly acquired medical images are not segmented instantly by radiologists due to heavy work load. Therefore, improvement can be made by capitalizing on the time interval between image acquisition and image segmentation. We proposed to pre-generate non-cartilage seeds during this time interval so the labeling process can be simplified. This enhanced interactive segmentation decreases processing time required by a radiologist without compromising the quality of original segmentation quality. Future works should focus on developing automatic pre-generation of different types of cartilage labels.

Original languageEnglish
Title of host publicationIECBES 2014, Conference Proceedings - 2014 IEEE Conference on Biomedical Engineering and Sciences
Subtitle of host publication"Miri, Where Engineering in Medicine and Biology and Humanity Meet"
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages315-318
Number of pages4
ISBN (Electronic)9781479940844
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event3rd IEEE Conference on Biomedical Engineering and Sciences, IECBES 2014 - Kuala Lumpur, Malaysia
Duration: 8 Dec 201410 Dec 2014

Publication series

NameIECBES 2014, Conference Proceedings - 2014 IEEE Conference on Biomedical Engineering and Sciences: "Miri, Where Engineering in Medicine and Biology and Humanity Meet"

Conference

Conference3rd IEEE Conference on Biomedical Engineering and Sciences, IECBES 2014
Country/TerritoryMalaysia
CityKuala Lumpur
Period8/12/1410/12/14

Fingerprint

Dive into the research topics of 'Interactive medical image segmentation with seed precomputation system: Data from the Osteoarthritis Initiative'. Together they form a unique fingerprint.

Cite this